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10.1021/acs.jpclett.0c01064

http://scihub22266oqcxt.onion/10.1021/acs.jpclett.0c01064
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32478523!ä!32478523

suck abstract from ncbi


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pmid32478523      J+Phys+Chem+Lett 2020 ; 11 (12): 4897-4900
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  • Comparing the Binding Interactions in the Receptor Binding Domains of SARS-CoV-2 and SARS-CoV #MMPMID32478523
  • Amin M; Sorour MK; Kasry A
  • J Phys Chem Lett 2020[Jun]; 11 (12): 4897-4900 PMID32478523show ga
  • SARS-CoV-2, since emerging in Wuhan, China, has been a major concern because of its high infection rate and has left more than six million infected people around the world. Many studies endeavored to reveal the structure of the SARS-CoV-2 compared to the SARS-CoV, in order to find solutions to suppress this high infection rate. Some of these studies showed that the mutations in the SARS-CoV spike (S) protein might be responsible for its higher affinity to the ACE2 human cell receptor. In this work, we used molecular dynamics simulations and Monte Carlo sampling to compare the binding affinities of the S proteins of SARS-CoV and SARS-CoV-2 to the ACE2. Our results show that the protein surface of the ACE2 at the receptor binding domain (RBD) exhibits negative electrostatic potential, while a positive potential is observed for the S proteins of SARS-CoV/SARS-CoV-2. In addition, the binding energies at the interface are slightly higher for SARS-CoV-2 because of enhanced electrostatic interactions. The major contributions to the electrostatic binding energies result from the salt bridges forming between R426 and ACE-2-E329 in the case of SARS-CoV and K417 and ACE2-D30 in the SARS-CoV-2. In addition, our results indicate that the enhancement in the binding energy is not due to a single mutant but rather because of the sophisticated structural changes induced by all these mutations together. This finding suggests that it is implausible for the SARS-CoV-2 to be a lab-engineered virus.
  • |Betacoronavirus/*chemistry/drug effects/genetics[MESH]
  • |COVID-19[MESH]
  • |Computer Simulation[MESH]
  • |Coronavirus Infections[MESH]
  • |Electrophysiological Phenomena[MESH]
  • |Humans[MESH]
  • |Models, Molecular[MESH]
  • |Molecular Dynamics Simulation[MESH]
  • |Monte Carlo Method[MESH]
  • |Mutation/genetics[MESH]
  • |Pandemics[MESH]
  • |Pneumonia, Viral[MESH]
  • |Receptor, Angiotensin, Type 2/*chemistry/drug effects/genetics[MESH]
  • |SARS-CoV-2[MESH]


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